As wind energy expands globally, noise emissions have become a critical factor for regulatory compliance, public acceptance and operational profitability. This article outlines a high-fidelity, multi-disciplinary framework for predicting and mitigating the two primary types of wind turbine noise: broadband aero-acoustic noise from the blades and tonal vibro-acoustic noise from the drivetrain. We present two integrated simulation workflows that enable engineers to design quieter turbines. The aero-acoustic workflow uses fluid simulation to optimize blade serrations, achieving up to 4 dB of noise reduction in key frequencies. The vibro-acoustic workflow models the entire turbine to trace mechanical vibrations from the gearbox to radiating surfaces, such as the tower, identifying the dominant noise paths. We explain how this holistic approach, supported by secure IP-protected collaboration, helps operators reduce costly power curtailments, accelerate certification and improve community relations.
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